Hongyu Lan — accepted AI-conference papers

2026

Active Perception for Deformable Linear Objects Stiffness Estimation

Chengxiao Dong, Alessio Caporali, Hongyu Lan, Gianluca Palli

ICRA 2026poster

Estimating the stiffness of Deformable Linear Objects (DLOs) is crucial for robust manipulation. Inferring this hidden property depends heavily on the physical interaction strategy. Through a 1D CNN-based analysis of predefined probing modes, we first demonstrate that boundary constraints and grasp …

Cited by 0 Scholar ↗

2026

Towards Dexterous Agri-Food Manipulation: Topology-Dependent Interaction Patterns in a Reconfigurable Multifingered Gripper

Hongyu Lan, Alessio Caporali, Chengxiao Dong, Gianluca Palli, Claudio Melchiorri

ICRA 2026poster

Robotic agri-food manipulation remains challenging because food items vary substantially in geometry, compliance, mass distribution, and surface properties, while their fragile nature makes grasping sensitive to small pose errors. This work presents a compact simulation-based study of how grasp topo…

Cited by 0 Scholar ↗